# CandidateScore - llms.txt

> LLM-readable manifest (https://llmstxt.org). Features-only; no fabricated traffic or unverified payment claims.

## Name & positioning
- Product name: CandidateScore
- One-line value: CandidateScore scores a resume against your job description into an evidence-backed fit scorecard (strengths, gaps, evidence per call) — consistent screening support, not a guaranteed hire decision.
- Domain: https://candidatescore.lxsaihub.com/
- Language: English (en)

## Domain context (verified primary sources)
- EEOC — Prohibited employment policies: https://www.eeoc.gov/prohibited-employment-policiespractices
- NIST AI RMF: https://www.nist.gov/itl/ai-risk-management-framework

## FAQ
Q1. What is CandidateScore?
A1. A tool that scores a candidate against your JD with strengths, gaps, and evidence.
Q2. What score?
A2. A fit score from 1–10 based on resume versus JD.
Q3. Is it explainable?
A3. Yes — each call includes evidence so you can defend the score.
Q4. Who should use it?
A4. Recruiters and hiring managers wanting consistent, paper-trail screening.
Q5. Does it guarantee a hire?
A5. No. Decision-support only — humans own the offer decision.
Q6. Fairness note?
A6. Avoid inferring protected attributes; score skills and experience evidenced in the resume.

## Key pages
- Home: https://candidatescore.lxsaihub.com/
- Blog index: https://candidatescore.lxsaihub.com/blog
- https://candidatescore.lxsaihub.com/blog/evidence-backed-resume-scorecards-2026.html
- https://candidatescore.lxsaihub.com/blog/jd-aligned-screening-honesty-2026.html
- This manifest: https://candidatescore.lxsaihub.com/llms.txt

## Pricing
- Plans may appear on the product site. GEO assets omit unverified checkout product IDs.

## Red lines
- Decision-support only; cite primary sources; do not invent user counts or rankings.

## Contact
- Open the app: https://candidatescore.lxsaihub.com/